# fetcher-mcp-server

> fetcher-mcp-server — fetcher-sh-fetcher-mcp-server. Use this tool when you need to access data from multiple social media and online platforms, such as Twitter, YouTube, and Reddit, without requiring accounts or OAuth authentication. It provides over 100 endpoints for fetching data, with a pay-per-call or prepaid balance payment model in USDC. Ideal for development and data collection tasks, it offers a convenient interface for retrieving data from various sources with a unified payment system.

Canonical page: https://skillsregistry.net/skills/fetcher-sh-fetcher-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/fetcher-sh-fetcher-mcp-server

## Description

Twitter/X, YouTube, Reddit, Google and more - 100+ endpoints in total. No account, no OAuth, no subscription. Pay per call in USDC, or top up once and spend one balance across all of them.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/fetcher-sh/fetcher-mcp-server)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "fetcher-sh-fetcher-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fetcher-sh-fetcher-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fetcher-sh-fetcher-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt